Araştırma Makalesi
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Radar cross section analysis of unmanned aerial vehicles using predics

Yıl 2020, Cilt 5, Sayı 3, 144 - 149, 01.10.2020
https://doi.org/10.26833/ijeg.648847

Öz

In this study, a quantitative radar cross section (RCS) analysis of different unmanned aerial vehicle (UAV) models were accomplished by means of a series of RCS simulations. The simulations were carried out by high-frequency RCS simulation and analysis tool called PREDICS. To quantify the RCS features of the UAV model, both the anglevariation and frequency-variation simulations for all polarization excitations were performed. The results of the simulations suggested that RCS values were dramatically varying with respect to look angle with some special angles providing the large values of RCS. Generally, the RCS values of the UAV model was increasing with frequency as expected. A quantitative radar detection range analyses were also accomplished to assess the visibility of both the military-type and civil-type UAV models. The outcome of these studies has suggested that large-size UAV model can be easily detected by a high-sensitive radar on the ranges of tens of kilometers while these numbers reduce to a few kilometers for a civilian UAV model that is much smaller than the its military counterpart. 

Kaynakça

  • Akar, A. (2017). Evaluation Of Accuracy of Dems Obtained From UAV-Point Clouds for Different Topographical Areas. International Journal of Engineering and Geosciences, 2 (3), 110-117.
  • Ananenkov, A. E., Marin, D. V., Nuzhdin, V. M., Rastorguev V. V., and Sokolov, P. V. (2018) “Possibilities to Observe Small-Size UAVs in the Prospective Airfield Radar,” 2018 20th International Conference on Transparent Optical Networks (ICTON), Bucharest, 2018, pp. 1-6.
  • Özdemir C., Inverse Synthetic Aperture Radar Imaging with MATLAB Algorithms (2012), John Wiley & Sons, March 2012, Hoboken, New Jersey, ISBN: 978-0-470- 28484-1.
  • Özdemir, C., Yılmaz, B., and Kırık, Ö. (2014a), “PREDICS: A new GO-PO based ray launching simulator for the calculation of electromagnetic scattering and RCS from electrically large and complex structures,” Turkish Journal of Electrical Engineering & Computer Sciences, Vol. 22, 1255 – 1269
  • Özdemir, C., Yılmaz, B., Kırık, Ö., Sütcüoğlu, Ö. (2014b), “A Fast and Efficient RCS Calculation and ISAR Image Formation Tool: PREDICS”, 10th European Conference on Synthetic Aperture Radar (EUSAR 2014), Berlin.
  • Pieraccini, M., Miccinesi, L. and Rojhani, N. (2017) “RCS measurements and ISAR images of small UAVs,” in IEEE Aerospace and Electronic Systems Magazine, vol. 32, no. 9, pp. 28-32, September 2017.
  • Ryapolov, I., Sukharevsky O., and Vasilets, V. (2014) “Radar cross-section calculation for unmanned aerial vehicle,” 2014 International Conference on Mathematical Methods in Electromagnetic Theory, Dnipropetrovsk, pp. 258-261.
  • Ulvı̇, A. Toprak, A. (2016). “Investigation Of ThreeDimensional Modelling Availability Taken Photograph Of The Unmanned Aerial Vehicle; Sample Of Kanlidivane Church.”, International Journal of Engineering and Geosciences, 1 (1), pp. 1-7.
  • Ulvı̇, A. (2018). “Analysis of The Utility of the Unmanned Aerial Vehicle (UAV) in Volume Calculation by Using Photogrammetric Techniques.” International Journal of Engineering and Geosciences, 3 (2), pp. 43-49.

Yıl 2020, Cilt 5, Sayı 3, 144 - 149, 01.10.2020
https://doi.org/10.26833/ijeg.648847

Öz

Kaynakça

  • Akar, A. (2017). Evaluation Of Accuracy of Dems Obtained From UAV-Point Clouds for Different Topographical Areas. International Journal of Engineering and Geosciences, 2 (3), 110-117.
  • Ananenkov, A. E., Marin, D. V., Nuzhdin, V. M., Rastorguev V. V., and Sokolov, P. V. (2018) “Possibilities to Observe Small-Size UAVs in the Prospective Airfield Radar,” 2018 20th International Conference on Transparent Optical Networks (ICTON), Bucharest, 2018, pp. 1-6.
  • Özdemir C., Inverse Synthetic Aperture Radar Imaging with MATLAB Algorithms (2012), John Wiley & Sons, March 2012, Hoboken, New Jersey, ISBN: 978-0-470- 28484-1.
  • Özdemir, C., Yılmaz, B., and Kırık, Ö. (2014a), “PREDICS: A new GO-PO based ray launching simulator for the calculation of electromagnetic scattering and RCS from electrically large and complex structures,” Turkish Journal of Electrical Engineering & Computer Sciences, Vol. 22, 1255 – 1269
  • Özdemir, C., Yılmaz, B., Kırık, Ö., Sütcüoğlu, Ö. (2014b), “A Fast and Efficient RCS Calculation and ISAR Image Formation Tool: PREDICS”, 10th European Conference on Synthetic Aperture Radar (EUSAR 2014), Berlin.
  • Pieraccini, M., Miccinesi, L. and Rojhani, N. (2017) “RCS measurements and ISAR images of small UAVs,” in IEEE Aerospace and Electronic Systems Magazine, vol. 32, no. 9, pp. 28-32, September 2017.
  • Ryapolov, I., Sukharevsky O., and Vasilets, V. (2014) “Radar cross-section calculation for unmanned aerial vehicle,” 2014 International Conference on Mathematical Methods in Electromagnetic Theory, Dnipropetrovsk, pp. 258-261.
  • Ulvı̇, A. Toprak, A. (2016). “Investigation Of ThreeDimensional Modelling Availability Taken Photograph Of The Unmanned Aerial Vehicle; Sample Of Kanlidivane Church.”, International Journal of Engineering and Geosciences, 1 (1), pp. 1-7.
  • Ulvı̇, A. (2018). “Analysis of The Utility of the Unmanned Aerial Vehicle (UAV) in Volume Calculation by Using Photogrammetric Techniques.” International Journal of Engineering and Geosciences, 3 (2), pp. 43-49.

Ayrıntılar

Birincil Dil İngilizce
Konular Mühendislik, Ortak Disiplinler
Bölüm Articles
Yazarlar

Caner ÖZDEMİR> (Sorumlu Yazar)

0000-0003-2615-4203
Türkiye

Destekleyen Kurum Mersin University Scientific Research Unit
Proje Numarası 2015-TP3-1160
Yayımlanma Tarihi 1 Ekim 2020
Yayınlandığı Sayı Yıl 2020, Cilt 5, Sayı 3

Kaynak Göster

Bibtex @araştırma makalesi { ijeg648847, journal = {International Journal of Engineering and Geosciences}, eissn = {2548-0960}, address = {}, publisher = {Murat YAKAR}, year = {2020}, volume = {5}, number = {3}, pages = {144 - 149}, doi = {10.26833/ijeg.648847}, title = {Radar cross section analysis of unmanned aerial vehicles using predics}, key = {cite}, author = {Özdemir, Caner} }
APA Özdemir, C. (2020). Radar cross section analysis of unmanned aerial vehicles using predics . International Journal of Engineering and Geosciences , 5 (3) , 144-149 . DOI: 10.26833/ijeg.648847
MLA Özdemir, C. "Radar cross section analysis of unmanned aerial vehicles using predics" . International Journal of Engineering and Geosciences 5 (2020 ): 144-149 <https://dergipark.org.tr/tr/pub/ijeg/issue/54181/648847>
Chicago Özdemir, C. "Radar cross section analysis of unmanned aerial vehicles using predics". International Journal of Engineering and Geosciences 5 (2020 ): 144-149
RIS TY - JOUR T1 - Radar cross section analysis of unmanned aerial vehicles using predics AU - CanerÖzdemir Y1 - 2020 PY - 2020 N1 - doi: 10.26833/ijeg.648847 DO - 10.26833/ijeg.648847 T2 - International Journal of Engineering and Geosciences JF - Journal JO - JOR SP - 144 EP - 149 VL - 5 IS - 3 SN - -2548-0960 M3 - doi: 10.26833/ijeg.648847 UR - https://doi.org/10.26833/ijeg.648847 Y2 - 2020 ER -
EndNote %0 International Journal of Engineering and Geosciences Radar cross section analysis of unmanned aerial vehicles using predics %A Caner Özdemir %T Radar cross section analysis of unmanned aerial vehicles using predics %D 2020 %J International Journal of Engineering and Geosciences %P -2548-0960 %V 5 %N 3 %R doi: 10.26833/ijeg.648847 %U 10.26833/ijeg.648847
ISNAD Özdemir, Caner . "Radar cross section analysis of unmanned aerial vehicles using predics". International Journal of Engineering and Geosciences 5 / 3 (Ekim 2020): 144-149 . https://doi.org/10.26833/ijeg.648847
AMA Özdemir C. Radar cross section analysis of unmanned aerial vehicles using predics. IJEG. 2020; 5(3): 144-149.
Vancouver Özdemir C. Radar cross section analysis of unmanned aerial vehicles using predics. International Journal of Engineering and Geosciences. 2020; 5(3): 144-149.
IEEE C. Özdemir , "Radar cross section analysis of unmanned aerial vehicles using predics", International Journal of Engineering and Geosciences, c. 5, sayı. 3, ss. 144-149, Eki. 2020, doi:10.26833/ijeg.648847